AI Engineer & Computer Science Student

Georgette Dalen

I build human-centered AI, web, and mobile products that make complex ideas easier to use.

I specialize in designing and developing AI-driven applications, responsive web platforms, and mobile apps. My experience spans emerging technologies, system-level programming, and end-to-end software solutions.

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AI/MLMedical, learning, and analysis projects
Web + MobileInterfaces built across screens
20+Projects across product, data, and UX
What I build with most

Core Strengths

The work sits at the intersection of applied AI, product engineering, and clear human workflows. Each strength supports the same goal: making technical systems easier to understand, trust, and use.

AI workflowsResponsive productsResearch-backed UX
01

Model to product

AI-Driven Products

Building machine-learning and generative-AI tools that turn technical models into useful product experiences.

ML pipelinesGenAI workflowsApplied analysis
02

Interface systems

Full-Stack Interfaces

Designing and shipping responsive web and mobile applications with clear flows, usable states, and real content.

Next.jsMobile UXProduct flows
03

Research to clarity

Human-Centered Systems

Connecting research, software, and product thinking so technical work feels understandable and helpful.

UX thinkingDocumentationProblem framing
Project snapshots

Selected Work

Three projects worth opening first, chosen to show the range between applied AI, product interfaces, and thoughtful technical systems.

NeuroView project preview
01Web and Mobile

NeuroView

NeuroView is a web and mobile platform designed for medical professionals to analyze brain MRI scans using AI. It provides fast and accurate tumor detection with detailed visual insights, supporting clinical decision-making and improving diagnostic efficiency.

KotlinNext.jsSupabase
NeuroView MRI Classification project preview
02Machine Learning

NeuroView MRI Classification

A deep learning project for brain tumor MRI classification, achieving 93.5% accuracy across four classes: Glioma, Meningioma, Pituitary, and No Tumor. It includes experiments, analysis, and a deployment-ready architecture for practical use.

Deep LearningNeural Networks
Presenza project preview
03Web

Presenza

Presenza is a facial recognition-based attendance application designed for events. It streamlines the check-in process, ensures accuracy, and generates detailed attendance records.

Next.jsMaterial UIPython
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